A package for the sparse identification of nonlinear dynamical systems from data

A Python Package For System Identification Using NARMAX Models

A differentiable physics engine for robotics

PDE-Net: Learning PDEs from Data

Control adaptive filters with neural networks.

A framework for gene expression programming (an evolutionary algorithm) in Python

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

Embedded Firmware Control Systems Toolbox (Pure C and GNU Octave)

State estimation, smoothing and parameter estimation using Kalman and particle filters.

System Identification toolbox, compatible with ControlSystems.jl

A MATLAB package for modelling multivariate stimulus-response data

System identification with MuJoCo

AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.

SLICOT - A Fortran subroutines library for systems and control

Subspace methods for MIMO system identification

The usage of MATLAB System Identification Toolbox and PID parameters adjustment

A fully-featured flight simulator, capable of real-time lifting-line aerodynamic modelling.

My collection of implementations of adaptive filters.

Rex is a JAX-powered framework for sim-to-real robotics.

Vibration Testing module affiliated with the in-progress manuscript Vibration Testing with Modal Analysis and Health Monitoring- Python version

AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)

Dimensionless learning

No description provided.

All in one control interface for quadrotors in ROS.

AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control

No description provided.

Diffusion based system identification with JAX

PySHRED: Package for Shallow Recurrent Decoding

Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"

Continuous-time system identification with neural networks